diff --git a/_pages/news.md b/_pages/news.md index e3193b3..07b4df0 100644 --- a/_pages/news.md +++ b/_pages/news.md @@ -3,6 +3,11 @@ layout: page title: News --- +* **13 March 2024** Anonymity at Risk? was accepted to NAACL Findings +* **4 March 2024**SCALE was accepted to DMLR @ ICLR +* **20 February 2024** Two papers got accepted to LREC-COLING +* **14 February 2024** LegalLens was accepted at EACL Main +* **24 January 2024** I successfully defended my PhD * **13 October 2023** Six papers got accepted to NLLP @ EMNLP * **7 October 2023** LEXTREME was accepted to EMNLP Findings * **31 July 2023** I started my AI residency at (Google) X diff --git a/_pages/publications.md b/_pages/publications.md index fa7b2a7..3d2641a 100644 --- a/_pages/publications.md +++ b/_pages/publications.md @@ -8,22 +8,24 @@ title: Publications For a complete, up-to-date list, please find me on [Google Scholar](https://scholar.google.com/citations?user=qJ8iricAAAAJ). -* Dor Bernsohn, Ben Hagag, Yaron Vazana, **Joel Niklaus**, "LegalLens: Leveraging LLMs for Legal Violation - Identification in Unstructured Text" - European Chapter of the Association for Computational Linguistics (**EACL**) - 2024 +* Dor Bernsohn, Gil Semo, Yaron Vazana, Gila Hayat, Ben Hagag, **Joel Niklaus**, Rohit Saha, Kyryl Truskovskyi "LegalLens: + Leveraging LLMs for Legal Violation Identification in Unstructured Text" - Conference of the European Chapter of the + Association for Computational Linguistics (**EACL**) 2024 * **Joel Niklaus**, Magda Chodup, Thomas Lüthi, Daniel Kettiger, "Re-Identifizierung in Gerichtsurteilen mit Simap Daten" - Pre-Print * Santosh T.Y.S.S, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, **Joel Niklaus**, "Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset" - Natural Legal Language Processing Workshop (**NLLP**) @ International Conference on Empirical Methods in Natural Language Processing (**EMNLP**) - 2023 [Slides](https://docs.google.com/presentation/d/19x5Kin1k2V5VJYqQnIp2_jv-92hSQMLFoQtOGw46vII/edit?usp=sharing) + 2023, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (**LREC-COLING**) + 2024 [Slides](https://docs.google.com/presentation/d/19x5Kin1k2V5VJYqQnIp2_jv-92hSQMLFoQtOGw46vII/edit?usp=sharing) * **Joel Niklaus**, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli, "Automatic Anonymization of Swiss Federal Supreme Court Rulings" - Natural Legal Language Processing Workshop (**NLLP**) @ International Conference on Empirical Methods in Natural Language Processing (**EMNLP**) 2023 [Slides](https://docs.google.com/presentation/d/17zBuTRlS71r61H6nxIfd1SiBwLT28DXbL_ycp3cE4gw/edit?usp=sharing) * Ramona Christen, Anastassia Shaitarova, Matthias Stürmer, **Joel Niklaus**, "Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents" - Natural Legal Language Processing Workshop (**NLLP**) @ - International Conference on Empirical Methods in Natural Language Processing (**EMNLP**) + International Conference on Empirical Methods in Natural Language Processing (**EMNLP**), Joint International + Conference on Computational Linguistics, Language Resources and Evaluation (**LREC-COLING**) 2024 2023 [Slides](https://docs.google.com/presentation/d/1nHxZUuzFmrdcbo8l-hGfeapl9ku5xKLrRcrZAR_CbbA/edit?usp=sharing) * Neel Guha, Julian Nyarko, Daniel E Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, @@ -33,10 +35,13 @@ on [Google Scholar](https://scholar.google.com/citations?user=qJ8iricAAAAJ). Li, "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models" - NeurIPS Datasets and Benchmarks 2023 * Alex Nyffenegger, Matthias Stürmer, **Joel Niklaus**, "Anonymity at Risk? Assessing Re-Identification Capabilities of - Large Language Models" - ArXiv Pre-Print + Large Language Models" - Annual Conference of the North American Chapter of the Association for Computational + Linguistics (**NAACL**) Findings 2024 * Vishvaksenan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, **Joel Niklaus**, " SCALE: Scaling up the Complexity for Advanced Language Model Evaluation" – Natural Legal Language Processing Workshop (**NLLP**) @ International Conference on Empirical Methods in Natural Language Processing (**EMNLP**) + 2023, Data-centric Machine Learning Workshop (**DMLR**) @ International Conference on Learning Representations + (**ICLR**) 2023 [Slides](https://docs.google.com/presentation/d/1Uf3Qnp-0gznFrofiIIEUBeA8jfIVIuliKVrVbtyUw9E/edit?usp=sharing) * **Joel Niklaus**, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, "MultiLegalPile: A 689GB Multilingual Legal Corpus" – Data-centric Machine Learning Research Workshop (**DMLR**) @ International Conference on @@ -86,6 +91,7 @@ on [Google Scholar](https://scholar.google.com/citations?user=qJ8iricAAAAJ). ## Reviewing +- ARR December 2023 - NLLP Workshop 2023 - ARR August 2023 - MLLD Workshop 2023